Application of GIS analysis for engineering and geological assessment of kimberlite deposits

The purpose of the research is to develop a methodology for analyzing the geological data of a kimberlite deposit based on the presence of kimberlite indicator minerals to optimize mining operations using geoinformation systems. Method. Interpolation and approximation methods are used to represent the terrain, with the choice depending on the quantity, density, and uniformity of input data distribution within the study area. Spatial interpolation enables the identification of distribution patterns of the studied parameters using Kriging methods and radial basis functions. Trend surfaces are generated using polynomial regression. For rapid evaluation of large datasets, minimum curvature and triangulation methods with linear interpolation are applied. Findings. The result of the study is an analysis of the spatial location of the deposit, mapping of mineral deposit zones with the identification of change patterns, and the construction of a digital three-dimensional model of the deposit with spatial analysis of the distribution of numerical indicators of kimberlite indicator minerals. Originality. This article proposes, for the first time, a methodology for optimizing mining operations by creating a 3D geoinformation model that displays information on the location of geological zones within the studied deposit and the prevailing kimberlite indicator minerals in these zones. This methodology allows for increased exploration accuracy, optimized mineral extraction, and reduced environmental risks. Practical implementation. The practical significance lies in optimizing the planning and execution of mining operations based on GIS analysis of kimberlite deposits. This allows for more accurate prediction of indicator mineral distribution, identification of profitable areas, reduction of costs, and environmental impact. The application of GIS facilitates decision-making at all stages of the mining process.